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Background Prescription drug abuse in the United States and elsewhere in the world is increasing at an alarming rate with non-medical opioid use, in particular, increasing to epidemic proportions over the past two decades. It is imperative to identify individuals most likely to develop opioid abuse or dependence to inform large-scale, targeted prevention efforts. Methods The present investigation utilized a large commercial insurance claims database to identify demographic, mental health, physical health, and healthcare service utilization variables that differentiate persons who receive an opioid abuse or dependence diagnosis within two years of filling an opioid prescription (OUDs) from those who do not receive such a diagnosis within the same time frame (non-OUDs). Results When compared to non-OUDs, OUDs were more likely to: (1) be male (59.9% vs. 44.2% for non-OUDs) and younger (M = 37.9 vs. 47.7); (2) have a prescription history of more opioids (1.7 vs. 1.2), and more days supply of opioids (M = 272.5, vs. M = 33.2; (3) have prescriptions filled at more pharmacies (M = 3.3 per year vs. M = 1.3); (4) have greater rates of psychiatric disorders; (5) utilize more medical and psychiatric services; and (6) be prescribed more concomitant medications. A predictive model incorporating these findings was 79.5% concordant with actual OUDs in the data set. Conclusions Understanding correlates of OUD development can help to predict risk and inform prevention efforts.

Robert L Page II,1 Vahram Ghushchyan,2 Jill Van Den Bos,3 Travis J Gray,3 Greta L Hoetzer,4 Durgesh Bhandary,4 Kavita V Nair1 1Department of Clinical Pharmacy, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, 2College of Business and Economics, American University of Armenia, Yerevan, Armenia; 3Milliman, Inc, Denver, CO, 4AstraZeneca, US Medical Affairs, Wilmington, DE, USA Background: No studies have addressed the cost of inpatient mortality during an acute coronary syndrome (ACS) admission. Objective: Compare ACS-related length of stay (LOS), total admission cost, and total admission cost by day of discharge/death for patients who died during an inpatient admission with a matched cohort discharged alive following an ACS-related inpatient stay. Methods: Medical and pharmacy claims (2009–2012) were used to identify admissions with a primary diagnosis of ACS from patients with at least 6 months of continuous enrollment prior to an ACS admission. Patients who died during their ACS admission (deceased cohort) were matched (one-to-one) to those who survived (survived cohort) on age, sex, year of admission, Chronic Condition Index score, and prior revascularization. Mean LOS, total admission cost, and total admission cost by the day of discharge/death for the deceased cohort were compared with the survived cohort. A generalized linear model with log transformation was used to estimate the differences in the total expected incremental cost of an ACS admission and by the day of discharge/death between cohorts. A negative binomial model was used to estimate differences in the LOS between the two cohorts. Costs were inflated to 2013 dollars. Results: A total of 1,320 ACS claims from patients who died (n=1,320) were identified and matched to 1,319 claims from the survived patients (n=1,319). The majority were men (68%) and mean age was 56.7±6.4 years. The LOS per claim for the deceased cohort was 47% higher (adjusted incidence rate ratio: 1.47, 95% confidence interval: 1.37–1.57) compared with claims from the survived cohort. Compared with the survived cohort, the adjusted mean incremental total cost of ACS admission claims from the deceased cohort was US$43,107±US$3,927 (95% confidence interval: US$35,411–US$50,803) higher. Conclusion: Despite decreasing ACS hospitalizations, the economic burden of inpatient death remains high. Keywords: death, acute coronary syndrome, hospitalization, cost, health resource utilization

OBJECTIVE Economic burden was compared for employees with autoimmune inflammatory diseases (AutoIDs) who received anti-tumor necrosis factor (TNF) α agents, those who did not, and those with no AutoID. METHODS Retrospective claims data analysis (2000-2006). Propensity analysis created two groups: (1) adult AutoID patients with anti-TNFα therapy (AutoID/anti-TNFα) matched to those with no anti-TNFα therapy (AutoID/non-anti-TNFα), and (2) non-AutoID patients (control) matched to all AutoID patients (AutoID). Indirect, direct, and total expenditures after controlling for various covariates were compared using regression analysis. RESULTS Total direct and total expenditures were, respectively, $13,187 and $13,373 higher for AutoID/anti-TNFα group (n = 689) versus AutoID/non-anti-TNFα group (n = 2699). Indirect expenditures were not statistically different between the groups. AutoID- (n = 12,612) and control-group (n = 48,895) differences showed similar trends. CONCLUSIONS These results provide useful information to employers about the cost burden associated with AutoIDs.

Chronic obstructive pulmonary disease (COPD) affects approximately 7% of Americans. COPD impacts productivity and forces 1 in 5 employees ages 45-65 years old to retire prematurely. Our objective was to quantify the direct and indirect costs of COPD in an employed population in the United States. A retrospective analysis using Thomson Reuters MarketScan commercial claims and Health and Productivity (HPM) databases (2000-2007) identified employees (ages 18-65 years) with ≥ 1 COPD medical claim, ≥ 6 month insurance eligibility pre and ≥ 12 months post diagnosis, and ≥ 12 months HPM data post diagnosis. COPD subjects were matched to non-COPD subjects using propensity scores to create a comparison group with similar characteristics. Differences in medical and pharmacy utilization and productivity (absence and short-term disability [STD] days) were examined using negative binomial regression, and cost differences using Heckman selection models. A total of 27,612 COPD patients were matched in a 1:1 ratio to 825,884 non-COPD patients; 80% were ages 36-65 years, and 59% were male. COPD employees had about twice the rate of emergency department visits and hospitalizations compared to non-COPD employees (P0.0001). The rate of absence and STD days was approximately 1.5 times higher (P0.0001) compared to non-COPD employees. Yearly direct and indirect expenditures were higher ($3609 and $909, respectively; P0.0001) for COPD versus non-COPD employees. Excess utilization and associated costs of COPD to employers was quantified. By understanding these costs, employers may evaluate disease management programs and treatment to improve outcomes for employees with COPD. Improved treatment options may reduce the direct and indirect costs of COPD.

Physical inactivity is associated with the increased risk of many chronic diseases. Such risks decrease with increases in physical activity. This study assessed the cost-effectiveness of population-wide strategies to promote physical activity in adults and followed disease incidence over a lifetime.A lifetime cost-effectiveness analysis from a societal perspective was conducted to estimate the costs, health gains, and cost-effectiveness (dollars per quality-adjusted life year [QALY] gained, relative to no intervention) of seven public health interventions to promote physical activity in a simulated cohort of healthy U.S. adults stratified by age, gender, and physical activity level. Interventions exemplifying each of four strategies strongly recommended by the Task Force on Community Preventive Services were evaluated: community-wide campaigns, individually adapted health behavior change, community social-support interventions, and the creation of or enhanced access to physical activity information and opportunities. Each intervention was compared to a no-intervention alternative. A systematic review of disease burden by physical activity status was used to assess the relative risk of five diseases (coronary heart disease, ischemic stroke, type 2 diabetes, breast cancer, and colorectal cancer) across a spectrum of physical activity levels. Other data were obtained from clinical trials, population-based surveys, and other published literature.Cost-effectiveness ratios ranged between $14,000 and $69,000 per QALY gained, relative to no intervention. Results were sensitive to intervention-related costs and effect size.All of the evaluated physical activity interventions appeared to reduce disease incidence, to be cost-effective, and--compared with other well-accepted preventive strategies--to offer good value for money. The results support using any of the seven evaluated interventions as part of public health efforts to promote physical activity.